Triple
T1687500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah An-Nur |
E36475
|
entity |
| Predicate | emphasizesValue |
P17414
|
FINISHED |
| Object | chastity |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: chastity | Statement: [Surah An-Nur, emphasizesValue, chastity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emphasizesValue Context triple: [Surah An-Nur, emphasizesValue, chastity]
-
A.
positionEmphasized
Indicates that a particular position, stance, or role is given special prominence or stress relative to others.
-
B.
hasEmphasis
chosen
Indicates that one element is given special stress, importance, or prominence relative to others.
-
C.
valuedBy
Indicates that one entity is regarded as important, useful, or held in high esteem by another entity.
-
D.
strategyEmphasis
Indicates an entity’s primary focus or priority within a broader strategy or plan.
-
E.
isHeavilyWeightedToward
Indicates that something is strongly biased or disproportionately oriented in favor of one side, option, or aspect over others.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69aa61b71cec8190b273588051058ebd |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.